IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v125y2018icp890-906.html
   My bibliography  Save this article

Thermal performance analysis of a high-altitude solar-powered hybrid airship

Author

Listed:
  • Zhang, Lanchuan
  • Li, Jun
  • Meng, Junhui
  • Du, Huafei
  • Lv, Mingyun
  • Zhu, Weiyu

Abstract

The increasing application of hybrid airships which have been recently proposed as high altitude platforms, makes it necessary for research into the thermal performance of such airships that possess a photovoltaic module array(PVMA).

Suggested Citation

  • Zhang, Lanchuan & Li, Jun & Meng, Junhui & Du, Huafei & Lv, Mingyun & Zhu, Weiyu, 2018. "Thermal performance analysis of a high-altitude solar-powered hybrid airship," Renewable Energy, Elsevier, vol. 125(C), pages 890-906.
    • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:890-906
    DOI: 10.1016/j.renene.2018.03.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118303215
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.03.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hocaoglu, Fatih Onur & Serttas, Fatih, 2017. "A novel hybrid (Mycielski-Markov) model for hourly solar radiation forecasting," Renewable Energy, Elsevier, vol. 108(C), pages 635-643.
    2. Yang, Xixiang & Liu, Duoneng, 2017. "Renewable power system simulation and endurance analysis for stratospheric airships," Renewable Energy, Elsevier, vol. 113(C), pages 1070-1076.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meng, Junhui & Liu, Siyu & Yao, Zhongbing & Lv, Mingyun, 2019. "Optimization design of a thermal protection structure for the solar array of stratospheric airships," Renewable Energy, Elsevier, vol. 133(C), pages 593-605.
    2. Sun, Kangwen & Ji, Xinzhe & Shan, Chuan & Cheng, Dongji & Liang, Haoquan, 2024. "Extending the flight endurance of stratospheric airships using regenerative fuel cells-assisted pressure maintenance," Renewable Energy, Elsevier, vol. 227(C).
    3. Liu, Yang & Du, Huafei & Xu, Ziyuan & Sun, Kangwen & Lv, Mingyun, 2022. "Mission-based optimization of insulation layer for the solar array on the stratospheric airship," Renewable Energy, Elsevier, vol. 191(C), pages 318-329.
    4. Jiang, Yi & Lv, Mingyun & Qu, Zhipeng & Zhang, Lanchuan, 2020. "Performance evaluation for scientific balloon station-keeping strategies considering energy management strategy," Renewable Energy, Elsevier, vol. 156(C), pages 290-302.
    5. Jiang, Yi & Lv, Mingyun & Wang, Chuanzhi & Meng, Xiangrui & Ouyang, Siyue & Wang, Guodong, 2021. "Layout optimization of stratospheric balloon solar array based on energy production," Energy, Elsevier, vol. 229(C).
    6. Zhu, Weiyu & Xu, Yuanming & Du, Huafei & Li, Jun, 2019. "Thermal performance of high-altitude solar powered scientific balloon," Renewable Energy, Elsevier, vol. 135(C), pages 1078-1096.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Lanchuan & Li, Jun & Wu, Yifei & Lv, Mingyun, 2019. "Analysis of attitude planning and energy balance of stratospheric airship," Energy, Elsevier, vol. 183(C), pages 1089-1103.
    2. Jiang, Hou & Lu, Ning & Huang, Guanghui & Yao, Ling & Qin, Jun & Liu, Hengzi, 2020. "Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data," Applied Energy, Elsevier, vol. 270(C).
    3. Qing, Xiangyun & Niu, Yugang, 2018. "Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM," Energy, Elsevier, vol. 148(C), pages 461-468.
    4. Ruan, Zhaohui & Sun, Weiwei & Yuan, Yuan & Tan, Heping, 2023. "Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    5. Shan, Chuan & Sun, Kangwen & Ji, Xinzhe & Cheng, Dongji, 2023. "A reconfiguration method for photovoltaic array of stratospheric airship based on multilevel optimization algorithm," Applied Energy, Elsevier, vol. 352(C).
    6. Meenal, R. & Selvakumar, A. Immanuel, 2018. "Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters," Renewable Energy, Elsevier, vol. 121(C), pages 324-343.
    7. Chen, Ji-Long & He, Lei & Chen, Qiao & Lv, Ming-Quan & Zhu, Hong-Lin & Wen, Zhao-Fei & Wu, Sheng-Jun, 2019. "Study of monthly mean daily diffuse and direct beam radiation estimation with MODIS atmospheric product," Renewable Energy, Elsevier, vol. 132(C), pages 221-232.
    8. Eduardo Rangel-Heras & César Angeles-Camacho & Erasmo Cadenas-Calderón & Rafael Campos-Amezcua, 2022. "Short-Term Forecasting of Energy Production for a Photovoltaic System Using a NARX-CVM Hybrid Model," Energies, MDPI, vol. 15(8), pages 1-23, April.
    9. Ramírez, Andres Felipe & Valencia, Carlos Felipe & Cabrales, Sergio & Ramírez, Carlos G., 2021. "Simulation of photo-voltaic power generation using copula autoregressive models for solar irradiance and air temperature time series," Renewable Energy, Elsevier, vol. 175(C), pages 44-67.
    10. Akarslan, Emre & Hocaoglu, Fatih Onur & Edizkan, Rifat, 2018. "Novel short term solar irradiance forecasting models," Renewable Energy, Elsevier, vol. 123(C), pages 58-66.
    11. Julián Urrego-Ortiz & J. Alejandro Martínez & Paola A. Arias & Álvaro Jaramillo-Duque, 2019. "Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia," Energies, MDPI, vol. 12(22), pages 1-29, November.
    12. Martins, Guilherme Santos & Giesbrecht, Mateus, 2021. "Clearness index forecasting: A comparative study between a stochastic realization method and a machine learning algorithm," Renewable Energy, Elsevier, vol. 180(C), pages 787-805.
    13. Ahmed Aljanad & Nadia M. L. Tan & Vassilios G. Agelidis & Hussain Shareef, 2021. "Neural Network Approach for Global Solar Irradiance Prediction at Extremely Short-Time-Intervals Using Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-20, February.
    14. Bempah, Kwabena Opoku & Kwon, Kyoungjun & Kim, Katherine A., 2019. "Experimental study of photovoltaic panel mounting configurations for tube-shaped structures," Applied Energy, Elsevier, vol. 240(C), pages 754-765.
    15. Jiang, Yi & Lv, Mingyun & Qu, Zhipeng & Zhang, Lanchuan, 2020. "Performance evaluation for scientific balloon station-keeping strategies considering energy management strategy," Renewable Energy, Elsevier, vol. 156(C), pages 290-302.
    16. Hassan, Muhammed A. & Al-Ghussain, Loiy & Ahmad, Adnan Darwish & Abubaker, Ahmad M. & Khalil, Adel, 2022. "Aggregated independent forecasters of half-hourly global horizontal irradiance," Renewable Energy, Elsevier, vol. 181(C), pages 365-383.
    17. Wang, Jianxing & Guo, Lili & Zhang, Chengying & Song, Lei & Duan, Jiangyong & Duan, Liqiang, 2020. "Thermal power forecasting of solar power tower system by combining mechanism modeling and deep learning method," Energy, Elsevier, vol. 208(C).
    18. Paweł Górecki, 2022. "Compact Thermal Modeling of Power Semiconductor Devices with the Influence of Atmospheric Pressure," Energies, MDPI, vol. 15(10), pages 1-10, May.
    19. Liu, Yang & Sun, Kangwen & Xu, Ziyuan & Lv, Mingyun, 2022. "Energy efficiency assessment of photovoltaic array on the stratospheric airship under partial shading conditions," Applied Energy, Elsevier, vol. 325(C).
    20. Samu, Remember & Calais, Martina & Shafiullah, G.M. & Moghbel, Moayed & Shoeb, Md Asaduzzaman & Nouri, Bijan & Blum, Niklas, 2021. "Applications for solar irradiance nowcasting in the control of microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:125:y:2018:i:c:p:890-906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.